DATA SCIENCE & AI
Data Science is a sought after mix of Analytical skillsets, combining complex statistical modelling and automated analytics to gain insight into structured and unstructured data.
Techniques such as Machine Learning, NLP and Computer Vision are used to gain insight into how people behave and how products are utilized. Billions of records of text or hours of video footage can be analysed to provide a commercial edge, or to identify fraudulent activity amongst many other applications.
Skills:
Machine Learning, Deep Learning, AI, Predictive Modeling, Neural Networks, Computer Vision, NLP, Spark, R, Python, Tensorflow
DATA ENGINEERING & CLOUD ARCHITECTURE
Big Data is at the forefront of nearly every organization’s strategic vision. The effective sourcing and analysis of structured and unstructured data directly leads to better business decisions.
With the advent of IoT, data is being produced constantly at an incredible rate from so many sources. Data engineering involves bringing them together in a data lake/data warehouse and obtaining insight through tools such as Hadoop, Hive and Spark. Big Data is linked to Cloud architecture and the successful integration of them is key.
Skills:
Hadoop, Hive, Spark, Scala, Mongo DB, Real Time Analytics, Cloud migration (AWS, Azure)
PHARMA INSIGHTS & MARKET ACCESS
The Pharmaceutical industry represents humanity’s fight against diseases, viruses and debilitating conditions. The intersection between pharma and data is key in terms of completing clinical trials but also determining the best route to market for drugs, medicines and medical devices.
Market Access combines data analytics, market research, product development and competitor intelligence to formulate the perfect strategy to bring a life sciences product to a patient. Linked to this is HEOR which combines statistics with investigative techniques to provide further insight into product strategy.
Skills:
Market Access, Reimbursement strategy, Payer/Contract insights, Product Development, Quant/Qual research, HEOR, Statistical Modeling, Clinical Data Management, Patient/Claims data
DIGITAL DELIVERY & DEVELOPMENT
Having an effective Digital product for customers/clients/employees to access is key to an organisation’s success. Be it on computer or mobile, any digital service is the face of the company and needs to be user-friendly, informative and concise as well as aesthetically pleasing and structurally sound.
To craft this Software Engineering is a core skillset both on the Back End and Front end to build applications from the ground up. In turn UX Designers and Digital Product Managers then collaborate to bring this user friendly application to life.
Skills:
ASP.Net, Java, C#, Angular, React, Back End/Front End/Full Stack Software Engineering, UX Design, Digital Product Development
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